In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) .

Documentation

Manual: HistDAWass.pdf
Vignette: None available.

Maintainer: Antonio Irpino <antonio.irpino at unicampania.it>

Author(s): Antonio Irpino*

Install package and any missing dependencies by running this line in your R console:

install.packages("HistDAWass")

Depends R(>= 3.1), methods
Imports graphics, class, FactoMineR, ggplot2, grid, histogram, grDevices, stats, utils, Rcpp
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Package HistDAWass
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Version 0.1.8
Published 2017-10-06
License GPL (>= 2)
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NeedsCompilation yes
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Package source HistDAWass_0.1.8.tar.gz